| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: FacebookAI/roberta-large |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: FacebookAI_roberta-large_custom_data |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # FacebookAI_roberta-large_custom_data |
| | |
| | This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3779 |
| | - Precision Macro: 0.8141 |
| | - Recall Macro: 0.8170 |
| | - F1 Macro: 0.8155 |
| | - Accuracy: 0.8117 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 2e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Precision Macro | Recall Macro | F1 Macro | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------------:|:------------:|:--------:|:--------:| |
| | | 0.5113 | 1.0 | 270 | 0.3779 | 0.8141 | 0.8170 | 0.8155 | 0.8117 | |
| | | 0.3962 | 2.0 | 540 | 0.4214 | 0.8266 | 0.8093 | 0.8125 | 0.8200 | |
| | | 0.2556 | 3.0 | 810 | 0.4619 | 0.8149 | 0.8106 | 0.8112 | 0.8135 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.48.0 |
| | - Pytorch 2.5.1 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| | |
